SATELLITE DATA ANALYSIS
Stampa
Anno immatricolazione
2015/2016
Anno offerta
2016/2017
Normativa
DM270
SSD
ING-INF/03 (TELECOMUNICAZIONI)
Dipartimento
DIPARTIMENTO DI INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE
Corso di studio
ELECTRONIC ENGINEERING
Curriculum
SPACE COMMUNICATION AND SENSING
Anno di corso
Periodo didattico
Primo Semestre (26/09/2016 - 13/01/2017)
Crediti
6
Ore
45 ore di attività frontale
Lingua insegnamento
ENGLISH
Tipo esame
SCRITTO E ORALE CONGIUNTI
Docente
DELL'ACQUA FABIO (titolare) - 6 CFU
Prerequisiti
It is advisable to attend a basic remote sensing course before taking this course.
Obiettivi formativi
This course has been conceived to teach the students a range of processing and analysis techniques commonly applied to remotely sensed data in various contexts. The students will learn how the different types of data can be handled and processed to reach the goal of extracting the information sought. The first two sections of the course will be devoted to optical and radar data analysis respectively, while the third section will be devoted to data fusion and to other advanced techniques.
Programma e contenuti
Processing and analysis of Optical Remotely Sensed Data
- Types of Optical Remotely Sensed Data and their characteristics
- Statistical analysis
- Spatial analysis
- Spectral analysis

Processing and analysis of Radar Remotely Sensed Data
- Types of Radar Remotely Sensed Data and their characteristics
- Statistical analysis
- Spatial analysis
- Polarimetric data and decompositions
- Multi-band analysis

Data fusion, information fusion, other techniques
- Data fusion and information fusion concepts
- Different types of data and information fusion
- Fusion with ancillary data / metadata integration
- Distributed collection of information / citizen sensor / crowdsourcing
- Big Data from Space
Metodi didattici
Lectures (hours/year in lecture theatre): 45
Testi di riferimento
Various authors. Land Applications of Radar Remote Sensing. InTech. Edited by Francesco Holecz, Paolo Pasquali, Nada Milisavljevic and Damien Closson, ISBN 978-953-51-1589-2, 318 pages. Chapters published June 11, 2014 under CC BY 3.0 license. DOI: 10.5772/55833 .
Modalità verifica apprendimento
Oral examination.
Altre informazioni
Oral examination.
Obiettivi Agenda 2030 per lo sviluppo sostenibile